{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# 直方图\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([115.3682273 , 122.44503934,  67.80580018, ..., 114.68363165,\n",
       "        97.56457449, 117.00718545])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mu = 100\n",
    "sigma = 20\n",
    "x = mu + sigma * np.random.randn(20000)  # 样本数量\n",
    "plt.hist(x,bins=100,color='#9999ff',density=True)   # bins显示有几个直方,density是否对数据进行标准化\n",
    "plt.show()\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(5)\n",
    "y = [20,10,30,25,15]\n",
    "plt.bar(x,y, color='green', width=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(-10,10,100)\n",
    "y = x**3\n",
    "# plt.plot(x,y,linestyle='--',color='green',marker='<')\n",
    "plt.plot(x,y,linestyle='--',color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.randn(1000)\n",
    "y = x+np.random.randn(1000)*0.5\n",
    "plt.scatter(x,y,s=5,marker='<')  # s表示面积，marker表示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a+ein8X+Pu0lyaJvj7dEH4fEihIeeo6dQt77pFMe2bRNZ8By+o8+j8sNn6H3M+fQ4bDLbP/tnqkvbW0d/PlPGaa3OxC58dnT89TsjZJSx53R66T57mpEK4B/APzB9PuT0r2cBJyNvRGSjazAjKxIb/mD4ROD6VvZPmoaqreQU9gWg5suF5PYf3uR/r/5iHgUHHoG3WyF2/S4QHhBC/j29JgH3trlXGjjmVNkIGaOA5Sn46lXAi8ggf2IFrJb/waavB1CCDPEpZOaol+Y8ixnZPSrLHwwPRN6xb/5mYBdsfuVedq2xiO7cjrd7b3zH/Ixday3qNq4GIcjxDaTvlKt2BzlWX8umF+5g0Dl3Irw51K79gq1v/gXhzaH/6Tem+3q3EuhXXloSS+dBm+Ok4F6MbAVTaS17QvyhFbBa/j9ATp8zBRni04COzLnrJl8DYzEjEdjdpTGMvKuv7WtMeWnJMtVFOOlU+eg0HGMY8Kv4a4MRMl5GhvhdK2A1NNnTjNQCc4A5mL5cZP/ps5CPq/qnodZ0aADOT4Q27lp0aFtzLPJsRCkntbhlQNpXPYurQIZ0NvC2FbBavmElxwwfhwzxVOSiT251C2bk94kNfzB8OLAQ+Rxda97z5aUlyp/pOiK4RsjoC2zBGcPEIsCryBDPtQLWzhb3NH0e5A21s5DPi/dPR4FJMh84ETMSg91dGhejpw1qy/ry0pL2TJqeUk4J7iTgPdV1NKMa+choNhC2AlZVq3ubvvHs6Xrp5LV8twCjMSPfJd7wB8OPI2fX1No2rLy0ZJ3KApwS3EuAx1TX0YZa4E1kiF+xAlZlq3vLQRCJEDf/bFmd0zAjryY2/MHw+cDTCutxm2PLS0s+UFmAU25OuWGIXjfg9Pirfq9BEFv22XvPIIjfYvoOYc9IJtWDIB7aK7QjkJMWaO2n/JLIKS3uszisE3cHRIH3kSF+0QpY61vd2/SNYE9LfCTpva5fBhyFGdkFu7s0fhCvQ2u/m8pLS0rb3i11dIvbdV5gcvz1kBEyGg+CWLPP3mZkNbI/9h8wfUPZE+JUD4KoQc7S2Li70Z3o0HbG8LZ3SS2ntLjbyMwODp8iQ/yCFbC+anVP0zeIPYMgjif5v1Qvw4w8mtjwB8M/Ql6zO+FOvtu8Vl5aUqKyAOXBjT8KyoaZHT9nT0vc2tBFMH39kB09zkJ2/Ojqc9XnMSO7L0XiM/Qvw93PoFX6ory0RMmg4AQnBPdw4DOlRaTfCva0xEta3VMOgjgVeXNrCnKG/Y4oB8bs1aXxVWRfbK1ztpeXlvhUFuCE4J4AzFNahFpfE2+JgY/bMQjiFGRLXELbgyAagEmYkd1jSP3B8EzggS7WrEGf8tKS1h8JppATgnsG8LLSIpxjHXKl8xeAD9oxCOIkZEvc0iCI2zAjdyU2/MHwWOAjdJfGZBhdXlryuaqDO+GucrYMnWuPocDV8dfGRoMg3mlhEMQrwCvxQRA/RLbEZyIHQbwLNO6H3AO5QJcObXIMQd63UMIJwU3aXEYZZhBwefy11QgZryBb4rf2GQRhRuqBucBcTN8VyAHfKxL9kOMeAkalo/Aska/y4E4Irm5x29YXuCj+2m6EjMQgiNf3GQRhRqLAO43f8gfD04CL01FoFlE6KbwTgqtb3I7pBZwff9UYIeN1ZEsctgLWjr139gfDBwCPpLfErKD0ksMJwdUtbud1Z0/Pq11GyGg8CGKbPxjOAZ4BlD66yFBZ3+I6oYZMkI+8u3wachDEO2O8+y85cul+dci+1FoSbcvvWSefyKnhhNC0PFBd66xc4KRVB685ydhS/uF578W+L/QlSbI9DvcpO7gT5lWuUV1AJnt5oufoX1/m3bozj/+oriXDRFUeXAc3C3zbXwy/ZKb3oKUHiHdtuTaQ1nU6uKoLyAZRr8j9/TTv8X86w7M4Jtisup4M0Po0Rimmg5tlFhzqGXf5VV62FvKp6lpcbt9ZT9JIBzcLRQrFgCuu8o57c6x4z9ZrJ3VW1ge3WnUBWUkI8ejJ3uNuv8C7qt5DuepyXCjrg9v6HE1aSi0fJoqnX+vt/81AlM5a6DJRYJvKApwQ3K9VF5DtavNE4Q3Tc455crLnQxv26Tap7WNb8fIypQt/KQ+uFbC2IVcP0BT75wTP0TN/4d1Wk0frU+toyu/KKw9uXLnqAjRpfT+x//SZ3oMXH6if+bZiteoCnBJcfbrsIFGvyC09x3v8A2d6lsQEm1TX40BlqgvQwdVa9FGx5/DLr/Z6UvXM95b16znmq5Wc/vWeBqwyGmX62jWcvHoV09euIRKVHZTe3LGd075ezQVrvqEy/t6aujqu++7bVJTWllQswN4hTgluueoCtOZFeoj+V1zlHTf38OQ/853q8/G3ocOavPdoRQUTuvdg7ogDmdC9B49ulTP3Pr51G88OH84ZvXy8ul3eEvnvLZu5uv+AZJbUXrrFjVupugCtFUKIf0zxHnfbz72r673JOzs6ont3fN6mP4Lzq6o40yeHD5/p8zFvh+xZ6BFQF7OptWPkCMGnNTUMyMnBn6dkPLtuceM+UV2A1rYvh4pDLpnpHViewme+FdEGBuTI0aYDcnLYGpVz5F3Zrz+XrVvLwupqSnr24q8VFVzRr3+qymjNpuLlZVtVHLgxRwTXClgVQOtLdGiOsCtP9Lhxes4xT5zgWWDD9nQdd2KPHrzgP4CHhw5jXlUVkwp7UF5Xx8xvv+W3G9azM5a2x6qOeFTmiODGfaS6AK39Xj3KM/FXl3sjyX7m28+bw+YG2cpubmigr7fpXA87YzHmbI8wrXcfHti8mbuKiji0Wzde3Z623yEL0nWg1ujgap22oa8Ydsm13lGfjRTv2ZCUJm9yYSEvy9VSeDkS4YTCplOSPba1ggt69yFXCGrtGEKAB/n3NHHENEA6uFqXxDwi556feo+7f6pnaUywsSOfvf67bznvm28or6tj8qqvmF1ZyWX9+rGgppqTV69iQU01l/brt3v/TQ31/Lu2lh/2lLPwXNS3L9O++YY5kQglPXsl9x/WvCiwsM290kD5EiQJRsjIQV4zdXRRK80helXbFffMiq7ut4PxqmtJkc+Kl5cdoboIcFCLG19iQw/udrHtPUS/GVfljH99nHjfhl1tf8J1HHGaDA4KbtxbqgvQum7WSd5Jt17oLa/3qu/Tm2T/Ul1AgtOC+5LqArTkWLmfGHXJTG/R6kEZM863AbmQmiM45ho3wQgZK4GRquvQkueUT2ILAvNihwl3r6jwTvHyshNUF5HgtBYXYI7qArTkeu1Iz8RrLvfuqM7HUl1LF7T5cymEiAohlgoh/i2EWCaE+LUQIiUZc2Jw9SLXGWhjXzF0+kxv8aKDkvfMN83a83O507btMbZtHwacCJwC3J6KYpx4quxBzkM1UHUtWmqMXxFb8uuXYoO9NkWqa2mnj4uXl01oaychRJVt24WNtkcAi4D+dpKD5rgW1wpYMeRK61qGWjTKM/YX13jztvRyzeCS5zrzIdu2VyMzlvRGyHHBjXtedQFaau3oLvpe+cucI8NHOP6Zbwz4vy58XiSrkMacGty30bNiZIXQid5JNwe839R5WaW6lha8Xry8bF1nPhg/VY5C8qf/cWRwrYBlA4+qrkNLj1VDxMGXXOsdvKrIOR0cGnm4Mx8SQgwAHgH+nOzrW3DgzakEI2QUAWtxxhq+Wpqc/Gls4cVvxQ51yDPf1cBB7Z1DWQgRBSzk+sQNwJPA/bad/KFLjg0ugBEyngPOUV2Hll6DttnrSmdFt/XYhaG4lN8ULy+7V3ENzXLkqXIj/626AC39NvYRQ6fP9B768cFKn/nWAo8pOnabHN3iAhgh41NgnOo6NDXGrYwtvX52bJDXZnCaD/1k8fKyC9N8zHZzeosLcL/qAjR1PjvIM+YX13jzN/fi4zQe1gb+kMbjdZgbgvssDpmgS1NjR3fR95e/zDnqn0eK9215Cptq/1e8vMzR/aodf6oMYISMqcCLquvQ1Dtwvb3yjiejnrwoB6boEDHge8XLy5RPet4aVwQXwAgZn0DGTomidUBevb3z9qejnx60nmNT8PVPFy8vuyAF35tUbjhVTrhFdQGaM9TlioJbLso59tGTPB/ZUJnEr44CdyTx+1LGNS0ugBEy5gOTVdehOcfASvvb0lnRisJavp+ErwsVLy+7KAnfk3JuC+4PcMiE1O1hx2xWmavI7ZPL8GuHs+7v66heUY23wAvAfpfuR8HwAiKLImx6aRPeQi/7X7M/OYU57Nq0i00vbGLYlcPaOIrmidnRmS/HPjhqhX2MAG8nv6YaOLR4edmaZNaWKm46VcYKWAvp2kiNtKp4s4L8IflN3is6t4iRd45k5J0jKRguZ6Ld8sYWRtw2gt4TexNZKCcD3zR7EwN/oockt0fMI7z3/8R73D1ne76ICr7r5Nfc4ZbQgsuCG3cNyb2uSYn6rfXsWLaDPpP6tLmvEAK7wSZWF0N4BdUrqsnpnUN+UX6bn9X2WHyQZ/Rl13gLNvo6PLn+F8ADqagpVVwXXCtgbQBuUF1HW9Y/s56ic4v2GY25cfZGVt66kvXPrCdWL3vzDTxjIOV/LKf639X4JvjY/M/NDDxdt7adUdVd9Ln6ypwJc44S/2rnM18bmFG8vKwh1bUlk6uucRtz8o2q7Uu3U/V5FUMuHEJVWRUVcysYfu1w6ivryfHlYDfYfPf4d+QNzGPgGU0Duu2DbURronQf0Z0tc7fg7e5l8M8G48l33e9Y5Uast1f+7qmoyGtoddbQWcXLyy5JW1FJ4uafhl8AO1UX0ZyalTVsX7KdFdetYN1f1lFVVsXav64lt3cuQgg8uR56H9Obnaublh/bFaPyw0r6ndCPjS9sZL/p+1HgL6ByoeOvDBxp9WBx0CUzvft9OaTFcb5bgRvTWVOyuDa4VsD6Coc+cyv6aRGHPHAIo+4bxdAZQyksLmTY5cOor6wHwLZtdizeQf5+Ta9hN7+2mX4n9kPkCGJ18UExHvb8XeuwulxRcGsg59i/TWn2me+M4uVlW5QU1kVuH6R+H3K87uGqC2mPdX9dR8OOBrCh2/7dGBIYsvt/q99WT215LYOmDgKg/8n9WX3narzd5SMirWvePtwzYdkI8V3prOg3PWsZjRz949q5zVx7jZtghIyRyMXCnDBjguZwnpgdvfqV2Jyjy+yLi5eXpW017GRzfXABjJBxBnLdoZTMqKdllHrgGCtguWVq2Ga59hq3MStgzcHh4yc1x7jR7aGFDAlu3M04aDU1zZFesgLWg6qLSIaMCa4VsKLANOh0lzctsy0GHDsVTUdlTHABrIC1EXmXuU51LZqjrAFOtQJWlepCkiWjggtgBawPgZ/jzhXhtOSLAKdYAWu96kKSKeOCC2AFrOeBX6quQ1OuHviJFbAybs6yjAwugBWwHgFuVV2HptR0K2DNV11EKmRscAGsgHU3LhuupSXNLVbAelJ1EamS0cGNuw54QnURWlrdZAWs36suIpUyoudUW4yQkQM8BZyruhYtpWxgphWwMn7pmmxocbECVgNwPvBn1bVoKRMDLs+G0EKWtLiNGSHjVuBO1XVoSRUFAlbAelp1IemSdcEFMELGpchFhzs7I6DmHPXAeVbAmq26kHTKyuDC7hFFzwLdVNeiddpG4GwrYH2gupB0y9rgAhgh4xhgNqBnZnOfRcjOFetUF6JCVtycakn8N/VYaHFOIs2ZHgcmZWtoIctb3IT446K7kdO+6sH4ztUA/NoKWA+pLkQ1HdxGjJBxKhAC+qquRdvHRuBcK2C9p7oQJ8jqU+W9WQHrVeTEc66fISHD/C9wmA7tHrrFbYYRMvKAm+IvvQ6IOhuBGVbAekl1IU6jg9sKI2SMQj7vPV5xKdnoWeAqK2BVqC7EiXRw28EIGRcDf0Rf+6bDJmQr+6LqQpxMX+O2gxWwZgGHABk7TMwBaoF7gVE6tG3TLW4HGSHjeOQP2HjFpWSKGHLk1q1WwFqruhi30MHtJCNkTAXuAg5VXYuLvYWc53ip6kLcRge3C4yQ4UWO8b0VKFZcjpt8AtxmBaw3VRfiVjq4SWCEDA9wNvLx0RjF5ThVFHgReNAKWAtUF+N2OrhJZoSMCcDlyJa4QHE5TlAJ/B038kRMAAAB/0lEQVT4sxWw1qguJlPo4KaIETJ6AxcgQ/w9xeWoYCGfgYesgFWtuphMo4PbCiFEEfAg8g7yLqAcmGnb9pcd+R4jZEwELgNOJ7OfBZcBzwPPWwHrP6qLyWQ6uC0QQghgARCybfuR+HtjgJ62bXdqGGD8ZtbRwGnIEB+cpHJVWsGesH6huphsoYPbAiHECYBp2/akVB3DCBkHIwN8GjAByEvVsZIoArwPzAfe1mFVQwe3BUKIa4ADbNu+Nh3HM0JGPjAaeVp+ZPzPUajv3VYOLESefSwElsZXRtQU0sFtQbqD2xwjZPQEjkDO0uEHhgP7x1/JvFauAlYCX+79sgJWZRKPoyWJDm4LhBA/BG5P5alyVxgho5A9Ie6HnPSuG3IYYuO/5wPVwHbkae7ery1WwNqQ7vq1rtHBbUH85tRHwKO2bf89/t54oLtt23pAt6aUDm4rhBBDkI+DxiFHr5QjHwetVFmXpungapoLqb5jqWlaJ+jgapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL6eBqmgvp4GqaC+ngapoL/T9+6KJyuxqMSQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = 'A','B','C','D'\n",
    "fracs = [15,30,45,10]\n",
    "plt.axes(aspect=1)  #使x y轴比例相同\n",
    "explode = [0,0.05,0,0]  # 突出某一部分区域\n",
    "plt.pie(x=fracs, labels=labels, autopct='%.0f%%', explode=explode)  #autopct显示百分比\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(100)\n",
    "data = np.random.normal(size=(1000,4),loc=0,scale=1)\n",
    "labels = ['A','B','C','D']\n",
    "plt.boxplot(data,labels=labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 图像的调整\n",
    "** 23种点形状 **\n",
    "```\n",
    "\".\"  point     \",\"  pixel     \"o\" circle      \"v\" triangle_down\n",
    "\"^\"  triangle_up     \"<\" triangle_left     \">\" triangle_right     \"1\"  tri_down\n",
    "\"2\"  tri_up       \"3\"  tri_left      \"4\"  tri_right       \"8\"  octagon\n",
    "\"s\"  square     \"p\"  pentagon     \"*\"  star     \"h\"  hexagon1     \"H\"  hexagon2\n",
    "\"+\"  plus     \"x\"  x      \"D\"  diamond      \"d\"  thin_diamond\n",
    "```\n",
    "\n",
    "** 8种內建默认颜色的缩写 **\n",
    "```\n",
    "b:blue         g:green       r:red       c:cyan\n",
    "m:magenta      y:yellow      k:black     w:white\n",
    "```\n",
    "\n",
    "** 4种线性 **\n",
    "```\n",
    "- 实线     --虚线      -.点划线   ：点线\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "x = np.linspace(-5,5,10)\n",
    "y = x**3\n",
    "fig.add_subplot(2, 2, 1)\n",
    "plt.plot(x,y,'b3:')\n",
    "\n",
    "fig.add_subplot(2, 2, 2)\n",
    "plt.bar(x,y, color='green', width=0.5)\n",
    "\n",
    "fig.add_subplot(2, 2, 3)\n",
    "plt.scatter(x, y, s=5, marker='d') \n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(np.random.rand(6, 4),  index=['one', 'two', 'three', 'four', 'five', 'six'], columns=pd.Index(['A', 'B', 'C', 'D'], name='Genus'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x13c04670>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x140d0c30>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvFvnyVgAADnJJREFUeJzt3XGI33d9x/Hna9fUFowdmJONJul1LOKFc+q41TEL2k1dnNBOcKMngoNg/mrGULbdllG1Q4gO5oaWubAOq2CyzsEINlsFzcA4K7m6dpiEjizW9VZYo3bFsXam5b0/7lqu17vc93K/5Pv7fe75gMDv97sP33vnl+N533x/v+/3l6pCktSWn+h7AEnS4Bl3SWqQcZekBhl3SWqQcZekBhl3SWqQcZekBhl3SWqQcZekBl3V1zfetm1bTUxM9PXtJWkkPfTQQ9+vqvG11vUW94mJCebm5vr69pI0kpJ8r8s6D8tIUoOMuyQ1yLhLUoOMuyQ1yLhLUoOMuyQ1yLhLUoOMuyQ1qLeTmIZBkoFty8+ilTRMNvWee1Wt+eeG3/9yp3WSNEw2ddwlqVXGXZIaZNwlqUHGXZIaZNwlqUHGXZIaZNwlqUGb+iQmDc4gTwgDTwqTNso9dw1ElxO9PClMunKMuyQ1yMMyWtMbPvYVnn7mwsC2NzF7/4a3cd21W3jkI+8cwDRSm5qM+zDGCEY3SE8/c4HHDr677zFeYlD/JlKrmoz7MMYIDJKkK8dj7pLUIOMuSQ0y7pLUIOMuSQ0y7pLUIOMuSQ0y7pLUIOMuSQ0y7pLUIOMuSQ0y7pLUoCavLSONOj/8RBvlnrs0hAb5wSeGfXPqtOeeZA/w58AY8FdVdXDZ13cC9wI/ubhmtqqODXhW9WTr5Cyvv3e27zFeYuskwPBd+VMaFmvGPckYcDfwDmAeOJnkaFWdXrLsj4D7quovkuwGjgETl2Fe9eBHZw4O3SWUvXyydHFd9txvAs5W1TmAJEeA24ClcS/gVYu3rwOeGOSQkrQRg3wNY1QOc3U55n498PiS+/OLjy31UeD9SeZZ2GvfP5DpJGkANuOHt3eJ+0q/8pb/DWeAz1XVduDXgC8kedm2k+xLMpdk7vz58+ufVpLUSZe4zwM7ltzfzssPu+wF7gOoqm8C1wDblm+oqg5V1XRVTY+Pj1/axJKkNXWJ+0lgV5Ibk1wN3A4cXbbmP4BfAUgyyULc3TWXpJ6sGfeqeg64A3gAOMPCu2JOJbkrya2Lyz4MfDDJI8Bh4LdqlA5OSVJjOr3PffE968eWPXbnktungbcMdjRJ0qXyDFVJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJatBVfQ8gbSZv+NhXePqZCwPb3sTs/QPZznXXbuGRj7xzINvScDDu0hX09DMXeOzgu/se42UG9UtCw8PDMpLUIPfcJY0sD3OtzrhLGlke5lqdh2UkqUFN7rlvnZzl9ffO9j3Gy2ydBBi+vQxJ7Wky7j86c9D/qkna1DwsI0kNMu6S1CDjLkkNMu6S1CDjLkkN6hT3JHuSPJrkbJIV32OY5DeTnE5yKskXBzumJGk91nwrZJIx4G7gHcA8cDLJ0ao6vWTNLuAPgLdU1VNJXnO5BpYkra3LnvtNwNmqOldVPwaOALctW/NB4O6qegqgqp4c7JiSpPXoEvfrgceX3J9ffGyp1wKvTfKNJA8m2TOoASVJ69flDNWs8FitsJ1dwNuA7cDXk0xV1X+/ZEPJPmAfwM6dO9c9rCSpmy5xnwd2LLm/HXhihTUPVtUF4LtJHmUh9ieXLqqqQ8AhgOnp6eW/IDTEhu3SCdddu6XvEaSh1iXuJ4FdSW4E/hO4HXjfsjV/D8wAn0uyjYXDNOcGOaj6M8jr9EzM3j+U1/2RWrPmMfeqeg64A3gAOAPcV1WnktyV5NbFZQ8AP0hyGjgO/G5V/eByDS1JurhOV4WsqmPAsWWP3bnkdgEfWvwjSeqZZ6hKUoOMuyQ1yLhLUoOMuyQ1yLhLUoOMuyQ1qMkPyIbhO6MSPKtS0pXTZNw9o1LSZtdk3LtKVrom2grrPrH2moXzuCRpOGzquBtkSa3yBVVJatCm3nOXNNq2Ts7y+ntX/FjnXm2dBOj3tTrjLmlk/ejMwaF8w8MwvFvPwzKS1CDjLkkNMu6S1CDjLkkNMu6S1CDfLSNdQb51T1eKcZeuIN+6pyvFwzKS1CDjLkkNMu6S1CCPuUsaacP4esEwfDCPcZc0svxgntV5WEaSGmTcJalBxl2SGmTcJalBxl2SGmTcJalBxl2SGmTcJalBxl2SGtQp7kn2JHk0ydkkq16MOsl7k1SS6cGNKElarzXjnmQMuBt4F7AbmEmye4V1W4HfBr416CElSevTZc/9JuBsVZ2rqh8DR4DbVlj3x8AngWcHOJ8k6RJ0ifv1wONL7s8vPvaiJG8CdlTVly+2oST7kswlmTt//vy6h5UkddMl7lnhsXrxi8lPAJ8CPrzWhqrqUFVNV9X0+Ph49yklSevSJe7zwI4l97cDTyy5vxWYAv4pyWPALwJHfVFVkvrTJe4ngV1JbkxyNXA7cPSFL1bV01W1raomqmoCeBC4tarmLsvEkqQ1rRn3qnoOuAN4ADgD3FdVp5LcleTWyz2gJGn9On0SU1UdA44te+zOVda+beNjSZI2wjNUJalBxl2SGmTcJalBxl2SGmTcJalBxl2SGtTprZDSWpKVrlKxytpPrL2mqtZeJGlVxl0DYYyl4eJhGUlqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAYZd0lqkJ+hKql5XT/AvaUPbzfukpo3KkEeJA/LSFKDjLskNci4S1KDjLskNahT3JPsSfJokrNJZlf4+oeSnE7yr0m+muSGwY8qSepqzbgnGQPuBt4F7AZmkuxetuxfgOmq+jngS8AnBz2oJKm7LnvuNwFnq+pcVf0YOALctnRBVR2vqv9dvPsgsH2wY0qS1qPL+9yvBx5fcn8eePNF1u8F/mEjQ0ktm5i9v+8RXua6a7f0PYIGrEvcVzq1a8UzApK8H5gG3rrK1/cB+wB27tzZcUSpHY8dfPfAtjUxe/9At6e2dDksMw/sWHJ/O/DE8kVJ3g4cAG6tqv9baUNVdaiqpqtqenx8/FLmlSR10CXuJ4FdSW5McjVwO3B06YIkbwL+koWwPzn4MSVJ67Fm3KvqOeAO4AHgDHBfVZ1KcleSWxeX/QnwSuBvkzyc5Ogqm5MkXQGdLhxWVceAY8seu3PJ7bcPeC5J0gZ4hqokNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjLskNci4S1KDjPsqDh8+zNTUFGNjY0xNTXH48OG+R5Kkzq7qe4BhdPjwYQ4cOMA999zDzTffzIkTJ9i7dy8AMzMzPU+nzSBJt3Wf6La9qtrANBpF6esffXp6uubm5nr53muZmpri05/+NLfccsuLjx0/fpz9+/fzne98p8fJJG12SR6qquk11xn3lxsbG+PZZ59ly5YtLz524cIFrrnmGp5//vkeJ5O02XWNe6dj7kn2JHk0ydkksyt8/RVJ/mbx699KMrH+kYfH5OQkJ06ceMljJ06cYHJysqeJJGl91ox7kjHgbuBdwG5gJsnuZcv2Ak9V1c8CnwI6HgkcTgcOHGDv3r0cP36cCxcucPz4cfbu3cuBAwf6Hk2SOunygupNwNmqOgeQ5AhwG3B6yZrbgI8u3v4S8JkkqRF9FeeFF03379/PmTNnmJyc5OMf/7gvpkoaGV3ifj3w+JL788CbV1tTVc8leRp4NfD9QQzZh5mZGWMuaWR1Oea+0nuylu+Rd1lDkn1J5pLMnT9/vst8kqRL0CXu88COJfe3A0+stibJVcB1wA+Xb6iqDlXVdFVNj4+PX9rEkqQ1dYn7SWBXkhuTXA3cDhxdtuYo8IHF2+8Fvjaqx9slqQVrHnNfPIZ+B/AAMAb8dVWdSnIXMFdVR4F7gC8kOcvCHvvtl3NoSdLFdbr8QFUdA44te+zOJbefBX5jsKNJki5Vb2eoJjkPfK+Xb74+2xjhd/0MIZ/PwfG5HKxReT5vqKo1X7TsLe6jIslcl1N91Y3P5+D4XA5Wa8+nl/yVpAYZd0lqkHFf26G+B2iMz+fg+FwOVlPPp8fcJalB7rlLUoOM+0UkeU+SSvK6vmcZZUmeT/JwkkeSfDvJL/U90yhL8lNJjiT59ySnkxxL8tq+5xpFS342Ty3+fH4oSRNd9LDMRSS5D/hp4KtV9dGexxlZSf6nql65ePtXgT+sqrf2PNZIysKHq/4zcG9VfXbxsTcCW6vq670ON4KW/Wy+Bvgi8I2q+ki/k21cE7+hLockrwTewsIHkXg5hcF5FfBU30OMsFuACy+EHaCqHjbsG1dVTwL7gDvS9RPKh1inyw9sUr8O/GNV/VuSHyb5+ar6dt9DjahrkzwMXMPC/4R+ued5RtkU8FDfQ7Sqqs4tHpZ5DfBffc+zEe65r24GOLJ4+8jifV2aZ6rqjVX1OmAP8PkW9ozUrCZ+Nt1zX0GSV7OwdzmVpFi4GmYl+T0vZbwxVfXNJNuAceDJvucZQadYuKy2LoMkPwM8TwM/m+65r+y9wOer6oaqmqiqHcB3gZt7nmvkLb7zaAz4Qd+zjKivAa9I8sEXHkjyC0l8gXqDkowDnwU+08JOnHvuK5sBDi577O+A9wG+cLV+Lxxzh4X/8n6gqp7vc6BRVVWV5D3AnyWZBZ4FHgN+p9fBRtcLP5tbgOeALwB/2u9Ig+FbISWpQR6WkaQGGXdJapBxl6QGGXdJapBxl6QGGXdJapBxl6QGGXdJatD/A9gGZMJAfp0KAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='box')\n",
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
